Uncertainty is a ubiquitous feature of engineering systems and as a result, stochastic modeling and uncertainty propagation techniques have become indispensable in almost every related research area. Further, due to the rapid developments in technology that have allowed for the accumulation of large amounts of experimental data, techniques that deal with high-dimensional problems and aim to extract patterns from experimental data are of vital importance in modern engineering. 

These are some of the topics of my research.


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